Chen Bai
Impact in
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- Traditional Chinese Medicine Studies
- Andrographolide Research and Applications
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
- Plant-based Medicinal Research
Papers in
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- Gut microbiota and health 5
- Metabolomics and Mass Spectrometry Studies 2
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- Traditional Chinese Medicine Studies 4
- Traditional Chinese Medicine Analysis 2
- Co-authors
- Hua Zhou (1 shared paper)Ying Xie (1 shared paper)Yu‐Feng Huang (1 shared paper)Fan He (1 shared paper)Tiegang Liu (21 shared papers)Xiaohong Gu (23 shared papers)Ruocong Yang (2 shared papers)Siying Wu (2 shared papers)
- Journals
- Evidence-based Complementary and Alternative Medicine (5 papers)Pharmacological Research (2 papers)Frontiers in Immunology (2 papers)Frontiers in Pharmacology (2 papers)iScience (1 paper)
- Partner nations
- ChinaUnited KingdomSingapore
In The Last Decade
Chen Bai
31 papers receiving 607 citations
Peers
Comparison fields: 5 of 86
- Complementary and alternative medicine 133
- Pharmacology 138
- Infectious Diseases 98
- Computational Theory and Mathematics 56
- Biological Psychiatry 7
Countries citing papers authored by Chen Bai
This map shows the geographic impact of Chen Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chen Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Bai more than expected).
Fields of papers citing papers by Chen Bai
This network shows the impact of papers produced by Chen Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chen Bai. The network helps show where Chen Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Bai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 209 | |
| 2 | 2020 | 177 | |
| 3 | 2020 | 28 | |
| 4 | 2022 | 23 | |
| 5 | 2020 | 21 | |
| 6 | 2020 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2024 | 9 | |
| 12 | 2024 | 9 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2019 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2020 | 3 |
About Chen Bai
Chen Bai is a scholar working on Molecular Biology, Complementary and alternative medicine, Immunology, Infectious Diseases and Pharmacology, having authored 32 papers that have together received 614 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Traditional Chinese Medicine Studies (4 papers), Immune Response and Inflammation (4 papers), Plant-based Medicinal Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Traditional Chinese Medicine Analysis (2 papers). The work is most often cited by research in Complementary and alternative medicine (133 citations), Pharmacology (138 citations), Infectious Diseases (98 citations), Computational Theory and Mathematics (56 citations) and Biological Psychiatry (7 citations). Chen Bai has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Hua Zhou, Ying Xie, Yu‐Feng Huang, Fan He, Tiegang Liu, Xiaohong Gu, Ruocong Yang, Siying Wu, Yì Wáng and Hao Liu. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Pharmacological Research, Frontiers in Immunology, Frontiers in Pharmacology and iScience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.